Are Feature Extractors Trained in the Tensorflow Object Detection API?

The name of the pictureThe name of the pictureThe name of the pictureClash Royale CLAN TAG#URR8PPP

Are Feature Extractors Trained in the Tensorflow Object Detection API?



In the Tensorflow Object Detection API, a typical neural network will have 2 components: A feature extractor and then a neural network which uses the output of the feature extract to further classify an image.



If you were to custom train a faster resnet50 neural network in the object detection api, to detect an extra 2 objects, during the training process is the feature extractor also trained? I.E. does the weights of the feature extractor component change?









By clicking "Post Your Answer", you acknowledge that you have read our updated terms of service, privacy policy and cookie policy, and that your continued use of the website is subject to these policies.

Comments

Post a Comment

Popular posts from this blog

Executable numpy error

Image
Clash Royale CLAN TAG #URR8PPP Executable numpy error I'm trying to create an executable file for my code. I've already tried with cx_Freeze and with pyinstaller. Both gives me the same error, which is: "Missing required dependencies 0.format(missing_dependencies))" PS C:UsersGustavoDesktopbuildexe.win32-3.6> python AgendaOficial.py C:UsersGustavoAppDataLocalProgramsPythonPython36-32python.exe: can't open file 'AgendaOficial.py': [Errno 2] No such file or directory PS C:UsersGustavoDesktopbuildexe.win32-3.6> .AgendaOficial.exe Traceback (most recent call last): File "C:UsersGustavoAppDataLocalProgramsPythonPython36-32libsite-packagescx_Freezeinitscripts__startup__.py", line 14, in run module.run() File "C:UsersGustavoAppDataLocalProgramsPythonPython36-32libsite-packagescx_FreezeinitscriptsConsole.py", line 26, in run exec(code, m. dict ) File "AgendaOficial.py", line 8, in File "C:UsersGustavoAppDataLocal
Read more

PySpark count values by condition

Image
Clash Royale CLAN TAG #URR8PPP PySpark count values by condition I have a DataFrame, a snippet here: [['u1', 1], ['u2', 0]] basically one string ('f') and either a 1 or a 0 for second element ('is_fav'). What I need to do is grouping on the first field and counting the occurrences of 1s and 0s. I was hoping to do something like num_fav = count((col("is_fav") == 1)).alias("num_fav") num_nonfav = count((col("is_fav") == 0)).alias("num_nonfav") df.groupBy("f").agg(num_fav, num_nonfav) It does not work properly, I get in both cases the same result which amounts to the count for the items in the group, so the filter (whether it is a 1 or a 0) seems to be ignored. Does this depend on how count works? count 1 Answer 1 There is no filter here. Both col("is_fav") == 1 and col("is_fav") == 0) are just boolean expressions and count doesn't really care about their value as long a
Read more

Mass disable jenkins jobs

Image
Clash Royale CLAN TAG #URR8PPP Mass disable jenkins jobs Is it possible to disable a large number of Jenkins jobs in one go? I have a large number of jenkins job I need to disable. Visiting each job in turn and disbling is tedious. 2 Answers 2 https://wiki.jenkins-ci.org/display/JENKINS/Configuration+Slicing+Plugin That works beautifully install it go to http://your_jenkins.com:8080/slicing/jobdisabledbool/? By using configuration slicing plugin: By using this plugin easy to find out anything has enabled or disable jobs and timer separated jobs Manage Jenkins >Config slicing > select options By clicking "Post Your Answer", you acknowledge that you have read our updated terms of service, privacy policy and cookie policy, and that your continued use of the website is subject to these policies.
Read more